• Media type: E-Article
  • Title: Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease
  • Contributor: Young, William J.; Haessler, Jeffrey; Benjamins, Jan-Walter; Repetto, Linda; Yao, Jie; Isaacs, Aaron; Harper, Andrew R.; Ramirez, Julia; Garnier, Sophie; van Duijvenboden, Stefan; Baldassari, Antoine R.; Concas, Maria Pina; Duong, ThuyVy; Foco, Luisa; Isaksen, Jonas L.; Mei, Hao; Noordam, Raymond; Nursyifa, Casia; Richmond, Anne; Santolalla, Meddly L.; Sitlani, Colleen M.; Soroush, Negin; Thériault, Sébastien; Trompet, Stella; [...]
  • Published: Springer Science and Business Media LLC, 2023
  • Published in: Nature Communications, 14 (2023) 1
  • Language: English
  • DOI: 10.1038/s41467-023-36997-w
  • ISSN: 2041-1723
  • Origination:
  • Footnote:
  • Description: AbstractThe 3-dimensional spatial and 2-dimensional frontal QRS-T angles are measures derived from the vectorcardiogram. They are independent risk predictors for arrhythmia, but the underlying biology is unknown. Using multi-ancestry genome-wide association studies we identify 61 (58 previously unreported) loci for the spatial QRS-T angle (N = 118,780) and 11 for the frontal QRS-T angle (N = 159,715). Seven out of the 61 spatial QRS-T angle loci have not been reported for other electrocardiographic measures. Enrichments are observed in pathways related to cardiac and vascular development, muscle contraction, and hypertrophy. Pairwise genome-wide association studies with classical ECG traits identify shared genetic influences with PR interval and QRS duration. Phenome-wide scanning indicate associations with atrial fibrillation, atrioventricular block and arterial embolism and genetically determined QRS-T angle measures are associated with fascicular and bundle branch block (and also atrioventricular block for the frontal QRS-T angle). We identify potential biology involved in the QRS-T angle and their genetic relationships with cardiovascular traits and diseases, may inform future research and risk prediction.
  • Access State: Open Access